Infrastructure and Services - Technology Services Ecosystem

基础设施和服务 - 技术服务生态系统

• 批准号: HDR-23002
• 负责人: Carole Goble
• 金额: $ 1799.79万
• 依托单位: Health Data Research UK
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=HDR-23002
• 关键词: Infrastructure; Services; Technology; Ecosystem

The UK has incredible information resources, ranging from NHS data collected as part of patient care to custom data collected for research projects such as the genetic information on human disease in the UK Biobank. Protecting patient information has always been one of the highest priorities for these resources, making it difficult for researchers to combine the information held in different places. Unfortunately, this means we are missing opportunities to answer questions about human health, disease and care.This work will bring together experts from across the UK to develop new ways to use the information held in different places, while still keeping individual patient identities private. The outputs will directly support HDR UK’s ambitious projects, while setting up foundations that will enable the wider research community to make discoveries that improve people’s lives.

英国拥有令人难以置信的信息资源，从作为患者护理的一部分收集的NHS数据到为研究项目收集的定制数据，例如英国生物库中人类疾病的遗传信息。保护患者信息一直是这些资源的最高优先级之一，这使得研究人员很难将不同地方保存的信息联合收割机组合在一起。不幸的是，这意味着我们错过了回答有关人类健康、疾病和护理问题的机会。这项工作将汇集英国各地的专家，开发新的方法来使用不同地方保存的信息，同时仍然保持患者个人身份的私密性。这些成果将直接支持HDR UK雄心勃勃的项目，同时建立基础，使更广泛的研究界能够做出改善人们生活的发现。

项目成果

Machine learning models in trusted research environments -- understanding operational risks

可信研究环境中的机器学习模型——了解运营风险

• DOI: 10.23889/ijpds.v8i1.2165
• 发表时间: 2023
• 期刊: International Journal of Population Data Science
• 作者: Ritchie F